Cloudera Administrator

Maaloomatiia; Dubai; On-site; AED 167,400 - 279,000; Full time

Job summary

A leading technology firm in Dubai is seeking an experienced Cloudera Administrator to manage and optimize its Cloudera big data platform. Key responsibilities include cluster administration, performance tuning, and security management. The ideal candidate will have strong hands-on experience with Cloudera, Hadoop, and Linux. A Bachelor's degree in Computer Science or a related field is required, along with Cloudera certifications. This role offers a unique opportunity to work in a dynamic environment with a focus on data management and analytics.

Qualifications

• Strong hands-on experience as a Cloudera Administrator.
• Deep understanding of Hadoop ecosystem components.
• Experience managing large-scale, distributed data systems.

Responsibilities

• Install, configure, and administer Cloudera CDP clusters.
• Monitor cluster performance and ensure high availability.
• Implement and manage cluster security.

Skills

Cloudera CDP

Hadoop ecosystem

Linux administration

Troubleshooting

Scripting

Education

Bachelor’s degree in Computer Science or related field

Tools

Ansible

Terraform

Grafana

Prometheus

Nagios

Cloudera Manager

Job description

Date: Mar 13, 2026

Location: Dubai, AE

Company: MAALOOMATIA ARABIAN GULF TRADING L.L.C.

Req ID: 2855

Job Title

Cloudera Administrator

Job Scope

We are seeking an experienced Cloudera Administrator to manage, monitor, and optimize our Cloudera big data platform. The ideal candidate will have strong hands‑on experience with Cloudera CDP, Hadoop ecosystem administration, cluster management, performance tuning, security, and production support. This role requires deep technical expertise and the ability to ensure high availability, stability, and scalability of the data platform.

Main Duties And Responsibilities

• Install, configure, and administer Cloudera CDP clusters (on-prem or cloud).
• Perform regular cluster maintenance, upgrades, patches, and hotfix deployments.
• Monitor cluster performance, resource utilization, and ensure high availability.
• Manage and optimize core Hadoop ecosystem components (HDFS, YARN, Hive, Spark, ZooKeeper, Impala, etc.).
• Troubleshoot node failures, service downtime, performance bottlenecks, and configuration issues.
• Implement and manage cluster security: Kerberos, Ranger, Sentry, SSL, and role-based access.
• Set up and maintain backup, recovery, and disaster recovery procedures.
• Work closely with development teams to support data pipelines, jobs, and workloads running on the cluster.
• Ensure adherence to data governance, compliance, and security standards.
• Maintain detailed documentation of cluster architecture, topology, and changes.
• Support automation and scripting for operational efficiency (bash, Python, Ansible, etc.).
• Participate in on‑call rotation for production support and incident response.
• Create and maintain documentation for the platform’s low- and high-level design and other architecture and operational related aspects

Position Requirements

• Strong hands‑on experience as a Cloudera Administrator (CDH/CDP).
• Deep understanding of Hadoop ecosystem components (HDFS, YARN, Hive, Spark, HBase, ZooKeeper, Oozie, Impala).
• Experience managing large-scale, distributed data systems.
• Proficiency in Linux administration (RHEL/CentOS/Ubuntu).
• Strong experience troubleshooting cluster issues and optimizing performance.
• Hands‑on experience with Kerberos, Ranger/Sentry, LDAP/AD integrations.
• Scripting skills (Shell, Python, or similar).
• Knowledge of networking concepts, load balancing, and security best practices.
• Familiarity with cloud platforms (AWS, Azure, GCP) is a plus.

Education

Bachelor’s degree in Computer Science, Computer Engineering or any other related field

Experience

• Cloudera certifications (CCAH, CCAH, CCA Administrator, or CDP Administrator).
• Experience with automation tools (Ansible, Terraform).
• Experience with monitoring tools (Grafana, Prometheus, Nagios, Cloudera Manager).
• Exposure to Kafka, NiFi, or data ingestion frameworks.